ML Engineer (AWS Bedrock)

Overview

On Site

Depends on Experience

Contract - W2

Contract - 12 Month(s)

No Travel Required

Unable to Provide Sponsorship

Skills

Machine Learning (ML)

Amazon SageMaker

AWS Bedrock

Bedrock

Job Details

🚀 Job Title: ML Engineer (AWS Bedrock)
Location: Malvern, PA — Local Candidates Only (Onsite/Hybrid as required)
Type: Contract / Contract-to-Hire

Job Description

We are seeking a highly skilled ML Engineer with strong AWS Bedrock experience to join our client’s team in Malvern, PA. The ideal candidate will have hands-on expertise in building, deploying, and optimizing Generative AI and Machine Learning solutions using AWS Bedrock and related AWS services.

Responsibilities

Design, develop, and deploy ML/GenAI models leveraging AWS Bedrock, including model orchestration, tuning, and evaluation.
Build scalable ML pipelines and integrate with AWS services such as Sagemaker, Lambda, Step Functions, DynamoDB, and S3.
Work closely with data engineering, cloud architecture, and product teams to translate business use cases into ML/GenAI solutions.
Implement model monitoring, observability, and performance optimization.
Ensure solutions follow best practices for security, governance, and compliance.
Troubleshoot ML workloads and optimize inference performance and cost.

Required Skills

3–7+ years of Machine Learning Engineering experience.
Strong hands-on experience with AWS Bedrock (model selection, fine-tuning, RAG pipelines, agents).
Proficiency in Python (NumPy, Pandas, PyTorch/TensorFlow depending on use case).
Experience with LLM pipelines, vector databases, embeddings, and prompt engineering.
Solid understanding of AWS ML & serverless ecosystem (SageMaker, Lambda, API Gateway, S3, IAM).
Experience with CI/CD pipelines for ML workloads (GitHub, Jenkins, CodePipeline, etc.).
Familiar with MLOps best practices and model lifecycle management.

Nice to Have

Experience with LangChain, LlamaIndex, or similar orchestration frameworks.
Knowledge of RAG architectures and enterprise GenAI deployment patterns.
Prior experience in financial services or enterprise-scale environments.

Additional Details

Location: Malvern, PA – Local candidates only
Start Date: ASAP
Duration: Long-term contract
Work Type: Onsite/Hybrid (as required by client)

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